- Define all architecture patterns (Data Mesh, Data Fabric, EventHub etc)
- Define each architecture pattern Data & Analytics Platform Functional Blueprint, Logical Layers and Each layer Capabilities
- Identify All Ingestion Patterns (Real Time, Batch, Structured, Unstructured (Images/PDF) for each data & analytics platform
- Analyze existing Data & Analytics Platform Architecture Playbook, Identify Gaps and Enrich Playbook
- Guided Tooling Framework (Scorecard based approach)
- Potential Engineering Frameworks (Structured/Semi-Structure)
- Define Intake Frameworks (Unstructured - OCR/Intake)
- Data Governance Capabilities/Framework/Integration with rest of Ecosystems
- Design & Recommend Data Traceability/Lineage/DQ/Reconciliation and Observability Platform Understanding of Cloud (GCP, AWS) Services Offering
- Deep Understanding of Banking Regulations and solution required to adopt them in Hybrid Cloud Ecosystem
- Data & Analytics Platform Governance: FinOps, Regulatory Conduct MVP/POC
- Must have 12+ Experience in Architecting Data & Analytics Platforms like Cloud/ Big Data / EDW's Must have 5+ years in Data Governance Solutions (Metadata Management, Data Quality, Data Lineage, Data Catalogue)
- Must have 5+ solution experience in Reporting/Visulization Platform Modernization (Canned, Self Service and Real Time Reporting)
- Must have 3+ Experience in Cloud Migration Solution Proposals includes Migration Strategy, FinOps, Cloud Governance
- Must Have strong understanding of Banking Regulations & their applicability for Data & Analytics Platforms
- Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management)
- Must have 3+ years' experience of DevOps (CI/CD)
- Certifications
- Minimum: At least One Certification of AWS or GCP or Azure
- Good to have knowledge of Banking data modeling.
- Must have experience with SLCD (Agile/Waterfall). Drive the architecture of a project, including authoring functional and design specifications, scalability, testing, quality data flow, and interface.
- Ability to Lead and Manage team and Interact with End users clients. Worked in Onsite/Offshore model.
- Demonstrated excellent communication, presentation, and problem-solving skills.
- Experience in project governance and enterprise customer management
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Data Architect - London Area, United Kingdom - Smart IT Frame LLC
Description
Role: Data Architect
Location: London, UK
Qualifying Criteria
